Univ Rennes, CNRS, Institut FOTON-UMR 6082, 6 rue de Kerampont CS 80518, F-22305 Lannion, France.
Sensors (Basel). 2023 May 17;23(10):4848. doi: 10.3390/s23104848.
Ambulatory instrumented insoles are widely used in real-time monitoring of the plantar pressure in order to calculate balance indicators such as Center of Pressure (CoP) or Pressure Maps. Such insoles include many pressure sensors; the required number and surface area of the sensors used are usually determined experimentally. Additionally, they follow the common plantar pressure zones, and the quality of measurement is usually strongly related to the number of sensors. In this paper, we experimentally investigate the robustness of an anatomical foot model, combined with a specific learning algorithm, to measure the static displacement of the center of pressure (CoP) and the center of total pressure (CoPT), as a function of the number, size, and position of sensors. Application of our algorithm to the pressure maps of nine healthy subjects shows that only three sensors per foot, with an area of about 1.5 × 1.5 cm, are needed to give a good approximation of the CoP during quiet standing when placed on the main pressure areas.
足底压力遥测鞋垫被广泛用于实时监测足底压力,以计算中心压力(CoP)或压力图等平衡指标。这种鞋垫包含许多压力传感器;通常通过实验来确定所需传感器的数量和表面积。此外,它们遵循常见的足底压力区域,测量质量通常与传感器的数量密切相关。在本文中,我们通过实验研究了一种解剖学足部模型与特定学习算法相结合的稳健性,以测量压力中心(CoP)和总压力中心(CoPT)的静态位移,作为传感器数量、大小和位置的函数。将我们的算法应用于九名健康受试者的压力图表明,当放置在主要压力区域时,每只脚仅需三个传感器,每个传感器的面积约为 1.5×1.5cm,即可在安静站立时很好地近似 CoP。